Direct observation event triggering of drowsiness
View Patent ↗A system for event triggering comprises an interface and a processor. An interface configured to receive a face tracking data and receive a sensor data. The processor configured to determine a degree of drowsiness based at least in part on the face tracking data and the sensor data; in the event that the degree of drowsiness is greater than a first threshold, capture data; and in the event that the degree of drowsiness is greater than a second threshold, provide a warning.
1. A system for event triggering, comprising:
an interface configured to:
receive a face tracking data for a driver of a vehicle;
receive a sensor data for the vehicle; and
a processor configured to:
evaluate a function of the face tracking data and the sensor data;
determine a degree of drowsiness for the driver of the vehicle based at least in part on a result of the function of the face tracking data and the sensor data;
in the event that the degree of drowsiness is greater than a first threshold,
capture data pertaining to the driver or the vehicle; and
in the event that the degree of drowsiness is greater than a second threshold,
provide a warning.
2. A system as in claim 1 , wherein the degree of drowsiness is determined using a model.
3. A system as in claim 2 , wherein the model is one of the following: rule-based model, statistical model, neural network based model, or an automatically calibrating anomaly detection model.
4. A system as in claim 2 , wherein the model is trained using one or more of the following: driving simulator data, video data, sensor data, audio data, or captured data.
5. A system as in claim 2 , wherein the model is used to determine a drowsy driving behavior using only non-face-data sensors.
6. A system as in claim 2 , wherein the model is used to determine a real-time driver warning using only non-face-data sensors.
7. A system as in claim 1 , wherein the face tracking data comprises a blink duration.
8. A system as in claim 7 , wherein the blink duration is relative to a driver specific blink duration baseline.
9. A system as in claim 8 , wherein the driver specific baseline includes an average blink duration and a standard deviation of blink duration.
10. A system as in claim 1 , wherein the face tracking data comprises head nodding.
11. A system as in claim 10 , wherein the head nodding is relative to a driver specific head nodding baseline.
12. A system as in claim 11 , wherein the driver specific baseline includes an average head nodding and a standard deviation of head nodding.
13. A system as in claim 1 , wherein the face tracking data is captured using a rear-view mirror mounted unit.
14. A system as in claim 1 , wherein sensor data comprises one or more of the following: steering data, acceleration data, braking data, application of gas data, deviations data, jerkiness of responses data, corrections data, or overcorrections data.
15. A system as in claim 1 , wherein capturing data comprises capturing data prior to being triggered by the drowsiness degree, during the trigger by the drowsiness degree, and after the trigger by the drowsiness degree.
16. A system as in claim 1 , wherein the driver is warned using one or more of the following an audible warning, an illumination warning, or a haptic warning.
17. A system as in claim 1 , wherein the processor is further configured to warn one or more of the following: a dispatcher, a system administrator, or a supervisor.
18. A system as in claim 1 , wherein the first threshold or the second threshold is dynamically adjusted.
19. A method of event triggering, comprising:
receiving a face tracking data for a driver of a vehicle;
receiving a sensor data for the vehicle;
evaluating, using a processor, a function of the face tracking data and the sensor data;
determining a degree of drowsiness for the driver of the vehicle based at least in part on a result of the function of the face tracking data and the sensor data; and
in the event that the degree of drowsiness is greater than a first threshold,
capturing data pertaining to the driver or the vehicle; and
in the event that the degree of drowsiness is greater than a second threshold,
providing a warning.
20. A computer program product for event triggering, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
receiving a face tracking data for a driver of a vehicle;
receiving a sensor data for the vehicle;
evaluating a function of the face tracking data and the sensor data;
determining a degree of drowsiness for the driver of the vehicle based at least in part on a result of the function of the face tracking data and the sensor data; and
in the event that the degree of drowsiness is greater than a first threshold,
capturing data pertaining to the driver or the vehicle; and
in the event that the degree of drowsiness is greater than a second threshold,
providing a warning.